Personalized Web Services for Web Information Extraction

نویسندگان

  • Zahi Jarir
  • Mohamed Quafafou
  • Mohammed Erradi
چکیده

The field of information extraction from the Web emerged with the growth of the Web and the multiplication of online data sources. This paper is an analysis of information extraction methods. It presents a service oriented approach for web information extraction considering both web data management and extraction services. Then we propose an SOA based architecture to enhance flexibility and on-the-fly modification of web extraction services. An implementation of the proposed architecture is proposed on the middleware level of Java Enterprise Edition (JEE) servers.

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عنوان ژورنال:
  • CoRR

دوره abs/1108.5460  شماره 

صفحات  -

تاریخ انتشار 2010